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      Modeling knowledge networks in economic geography: a discussion of four methods

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          The structure and function of complex networks

          M. Newman (2003)
          Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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            Gravity with Gravitas: A Solution to the Border Puzzle

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              An introduction to exponential random graph (p*) models for social networks

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                Author and article information

                Journal
                The Annals of Regional Science
                Ann Reg Sci
                Springer Nature
                0570-1864
                1432-0592
                September 2014
                June 2014
                : 53
                : 2
                : 423-452
                Article
                10.1007/s00168-014-0616-2
                7544be9d-96eb-4127-9625-2a2a29a33920
                © 2014
                History

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